lhs: Latin Hypercube Samples

Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples.

Version: 1.0.2
Depends: R (≥ 3.4.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, DoE.base, knitr, rmarkdown, covr
Published: 2020-04-13
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell at gmail.com>
BugReports: https://github.com/bertcarnell/lhs/issues
License: GPL-3
URL: https://github.com/bertcarnell/lhs
NeedsCompilation: yes
Materials: ChangeLog
In views: Distributions, ExperimentalDesign
CRAN checks: lhs results

Downloads:

Reference manual: lhs.pdf
Vignettes: An Example of Augmenting a Latin Hypercube
Basic Latin hypercube samples and designs with package lhs
Latin Hypercube Samples - Questions
Package source: lhs_1.0.2.tar.gz
Windows binaries: r-devel: lhs_1.0.2.zip, r-release: lhs_1.0.2.zip, r-oldrel: lhs_1.0.2.zip
macOS binaries: r-release: lhs_1.0.2.tgz, r-oldrel: lhs_1.0.2.tgz
Old sources: lhs archive

Reverse dependencies:

Reverse depends: acebayes, ATmet, mtk, netgen, spsh, tuneRanger
Reverse imports: activegp, binaryGP, DoE.wrapper, DSAIDE, DSAIRM, DynamicGP, EasyABC, ENMTools, GPfit, GPM, grapherator, hydroPSO, inaparc, LVGP, MaOEA, mcMST, mlrMBO, nlrx, optim.functions, OUwie, ParBayesianOptimization, penalizedSVM, profExtrema, rrepast, tramnet, yager, yap
Reverse suggests: BayesianTools, ChemoSpec2D, ContourFunctions, DiceOptim, dynparam, flacco, GAparsimony, hetGP, IGP, kergp, laGP, maximin, mistat, moko, OptimaRegion, paradox, ParamHelpers, RKHSMetaMod, SACOBRA, vdg

Linking:

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